How To Test Data Warehouse

Based on the hive of the Water conservancy Census Data Warehouse Chen Wandingshen Gu Xinzhen According to the mass and multidimensional characteristics of water Conservancy census data, this paper studies the Hadoop and hive developed rapidly under the concept of "big data", and combines the mature technology of the traditional data warehouse in multidimensional data analysis, This paper puts forward the construction method of the data warehouse of the Water conservancy census based on hive, describes the architecture of the Data Warehouse system, and according to the design characteristics of the hive, improves the traditional multidimensional analysis model through the method of splitting bucket, reducing dimension table and redundant fact table, finally building the cluster system to ...

This Tuesday, the fund heavy warehouse shares China Unicom will officially enter the full circulation era, the day of the major shareholder China United Communications Limited held 10,754,658,700 shares of the restricted stock began to lift the ban. With more and more shares of the stock market share restrictions lifted, a shares of many stocks began full circulation. According to statistics, as of the end of this year, the two cities will have 848 companies to achieve full circulation of shares, accounting for all shares of the company's 63.86%, of which in 2009 there will be 629 companies to achieve full circulation of share reform. In the face of more and more full circulation of stocks, the Fund's list of heavy stocks in the full circulation of shares also increased, the full circulation of shares ...

The example demonstrates using the IBM BCU design architecture to benchmark TPC as data source (300GB data volume) and test case, showing the pull effect of "troika" on query performance. Whether in the POC test or in the real production system, query performance is an important indicator of customer concern. Through this article, the reader can fully understand the "troika" of the mystery, the text of the example demo to the reader has reference and referential significance. In the Http://www.aliyun.com/zixun/aggreg ...

The big data age is putting pressure on data storage, and more and more organizations need to build a storage platform that can store large amounts of structured and unstructured data on the basis of cloud computing technology. 　　Cloud storage should be "cloud"-born. The so-called cloud storage, refers to through the cluster application, grid technology or Distributed file system functions, the network of a large number of different types of storage devices through the application software together to work together to provide data storage and business access functions of a system. The key to implementing cloud storage that adapts to user needs is to choose a strong data architecture based on application and deployment requirements ...

The purpose of data mining is to find more quality users from the data. Next, we continue to explore the model of the guidance data mining method. What is a guided data mining method model and how data mining builds the model. In building a guided data mining model, the first step is to understand and define the target variables that the model attempts to estimate. A typical case, two-dollar response model, such as selecting a customer model for direct mailing and e-mail marketing campaigns. The build of the model selects historical customer data that responds to similar activities in the past. The purpose of guiding data mining is to find more classes ...

The purpose of data mining is to find more quality users from the data. Next, we continue to explore the model of the guidance data mining method. What is a guided data mining method model and how data mining builds the model. In building a guided data mining model, the first step is to understand and define the target variables that the model attempts to estimate. A typical case, two-dollar response model, such as selecting a customer model for direct mailing and e-mail marketing campaigns. The build of the model selects historical customer data that responds to similar activities in the past. The purpose of guiding data mining is to find more similar ...

The basic concepts of A/b test are described above, and we continue to explore how to implement A/b test. Let's take a look at a diagram: (Note: Thank Algo for providing this picture.) The above illustration shows the implementation principle of A/b test. From left to right, the four thicker vertical bars represent the four key roles in A/b Test: Client, server, data tier (data), Warehouse (Data-warehouse). Three forms of access are represented from top to bottom: normal access flow without A/b test ...

The concept of large data, for domestic enterprises may be slightly unfamiliar, the mainland is currently engaged in this area of small enterprises. But in foreign countries, big data is seen by technology companies as another big business opportunity after cloud computing, with a large number of well-known companies, including Microsoft, Google, Amazon and Microsoft, that have nuggets in the market. In addition, many start-ups are also starting to join the big-data gold rush, an area that has become a real Red sea. In this paper, the author of the world today in the large data field of the most powerful enterprises, some of them are computers or the Internet field of the Giants, there are ...

It has been almost 2 years since the big data was exposed and the customers outside the Internet were talking about big data. It's time to sort out some of the feelings and share some of the puzzles that I've seen in the domestic big data application. Clouds and large data should be the hottest two topics in the IT fry in recent years. In my opinion, the difference between the two is that the cloud is to make a new bottle, to fill the old wine, the big data is to find the right bottle, brew new wine. The cloud is, in the final analysis, a fundamental architectural revolution. The original use of the physical server, in the cloud into a variety of virtual servers in the form of delivery, thus computing, storage, network resources ...

Storing them is a good choice when you need to work with a lot of data. An incredible discovery or future prediction will not come from unused data. Big data is a complex monster. Writing complex MapReduce programs in the Java programming language takes a lot of time, good resources and expertise, which is what most businesses don't have. 　　This is why building a database with tools such as Hive on Hadoop can be a powerful solution. Peter J Jamack is a ...